Estimating the elasticity of taxable income when earnings responses are sluggish Trine Engh Vatto
By: Vatto, Trine Engh
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Material type: 
ArticlePublisher: 2020Subject(s): IMPUESTOS | ELASTICIDAD IMPOSITIVA | NORUEGA | MODELOS ECONOMETRICOS | ANALISIS DE PANELESOnline resources: Click here to access online
In:
FinanzArchiv v. 76, n. 4, December 2020, p. 320-369Summary: Estimates of the elasticity of taxable income (ETI) are conventionally obtained by stacking three-year overlapping differences in the estimation. This means that the ETI estimate is an average of first-, second-, and third-year effects. The present paper suggests that if gradual adjustment can be expected, the analyst should consider estimating the ETI by a dynamic panel data model. When Norwegian income tax return data for wage earners over a 14-year period (1995–2008) are used in the estimation, an ETI estimate of 0.15 is obtained from the dynamic specification, compared to 0.11 by the conventional approach. Importantly, the conventional approach fails to produce a long-term elasticity estimate by increasing the time span of each difference.
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Estimates of the elasticity of taxable income (ETI) are conventionally obtained by stacking three-year overlapping differences in the estimation. This means that the ETI estimate is an average of first-, second-, and third-year effects. The present paper suggests that if gradual adjustment can be expected, the analyst should consider estimating the ETI by a dynamic panel data model. When Norwegian income tax return data for wage earners over a 14-year period (1995–2008) are used in the estimation, an ETI estimate of 0.15 is obtained from the dynamic specification, compared to 0.11 by the conventional approach. Importantly, the conventional approach fails to produce a long-term elasticity estimate by increasing the time span of each difference.
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